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Definition and measure of KPAs/KPIs to monitor airside airport performance across Europe.   SPADE Workshop Gran Canarias (Spain), 5 th  November 2009 Jose Luis Garcia-Chico  Performance Review Unit/Eurocontrol (Aena secondment to PRU) jose-luis.garcia-chico@eurocontrol.int / jlgchico@crida.es Tel. +32 474 123814
Acknowledgements ,[object Object],[object Object],[object Object],[object Object]
ATMAP aims at establishing a performance measuring framework of airport  airside operations within the SES legislative context Institutional  Framework ,[object Object],[object Object],[object Object],ATMAP  Objectives ATMAP  Approach Outcome ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Scope of the framework focuses on ANS around airports: airport airside-terminal environment  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Runway system Taxiway system Gates/ turn-around TMA  - arrival TMA – departure En-route En-route Entry  fix Exit  fix Network Network Airport Arrivals Departures Turn-around
Conceptual framework links scheduling and observed operations with external factors/drivers  Performance Airport Airlines ANSP Airport Airlines ANSP External factors Weather Environmental Airport layout Scheduling of Operations Observed activity the day of operations  Traffic Mix ATC procedures Others ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Airport Airside Performance Framework Breakdown KPIs Breakdown  KPAs Traffic Volume & Demand Capacity Punctuality Efficiency Predictability Flexibility Emissions ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Consolidation  Low High
KPI Handled Traffic: European traffic experienced a generalized decreased in both Winter (-8%) and Summer (-5%) seasons ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],-4% -1% -4% -13% -7% -7% -17% -9% -5% -9% -10% -33% -10% -8% -2% -9% -6% -6% 0 200 400 600 800 1000 1200 1400 1600 Paris Charles-de-Gaulle London Heathrow Frankfurt Madrid Munich Rome Fiumicino Barcelona Vienna Zurich London Gatwick Paris Orly Brussels Milan Malpensa Dublin Palma Helsinki Prague Lisbon Airport Daily Movements [flt/day] Winter 07-08 Winter 08-09 data source : EUROCONTROL/CFMU
KPI Slot Utilization: European slot utilization decreased in both Winter (- 9,4%) and Summer (- 7,7%) seasons ,[object Object],[object Object],[object Object],Data source: EUROCONTROL/CFMU Sample of 18 ATMAP airports
KPI Service Rate as approximation of maximum airport throughput ,[object Object],[object Object],[object Object],[object Object],[object Object],Definition:  1 percentile of the distribution of observed throughput (mov/hour) during the peak month Data source: EUROCONTROL/CFMU Period 2008 0% 1% 2% 3% 4% 5% 6% 7% 8% 9% 10% 7 10 13 16 19 22 25 28 31 34 37 1P Peak Month
KPI Punctuality  is calculated based on comparison between actual block times at the stand with airline scheduled times Data source: EUROCONTROL/eCODA Period 2008
Both arrival (+7.9%) and departure (+7.5%) punctuality has improved in Europe in the last summer seasons Data source: EUROCONTROL/eCODA Sample of 18 ATMAP airports Summer 09 up to Oct 1st ,[object Object],[object Object],[object Object]
Conceptual framework: Efficiency is measured by indicators of additional times  experienced by flights for each phase of flight Arrival Flow Departure (from airport ‘j’) En-route  Flight   Airport A Taxi-out   Additional  Time in Taxi-in   Additional Time of  Inbound  Flow to Airport A Departure (at airport ‘A’) Engines-off Engines-on ANS-related  holding at gate  due to downstream  Airport A (ATFM delays) Additional  Time  in ASMA (airborne)  Additional Time of  Outbound  Flow to Airport A Engines-off Engines-on ANS-related  holding at gate  due to airport A (pre-departure delays) Additional  Time in  Taxi-out  En-route  Flight   … ,[object Object],[object Object],[object Object],[object Object],[object Object]
Arrival inbound efficiency (1): ATFM arrival delay isolates ATFM regulations originated from the destination airport Data source: EUROCONTROL/CFMU Period 2008 ,[object Object],[object Object],[object Object],[object Object],[object Object]
Arrival inbound efficiency (2):  Arrival Sequencing and Metering Area additional time captures the arrival control strategies/inefficiencies ,[object Object],[object Object],[object Object],[object Object],Data source: EUROCONTROL/CFMU/eCODA Period 2008 ASMA additional time average:  3.3 min/flt 40 Nm 100 Nm Madrid March 6th 2008 Source CFMU
Departure outbound efficiency (1): pre-departure delays  originated at the departure airport (normally do not generate AFTM) Data source: EUROCONTROL/eCODA Period 2008 ,[object Object],[object Object],[object Object],[object Object]
Departure outbound efficiency (2): taxi-out additional time  as the period between take  ,[object Object],[object Object],Taxi-out additional time average:  4,6 min/flt Data source: EUROCONTROL/CFMU Period 2008
There seems to be a link between the amount of slot utilization and quality of service in Europe ,[object Object],[object Object],[object Object],[object Object],Data source: EUROCONTROL/CFMU/Ecoda Period 2008
KPI Predictability: Variability of departure/arrival times and flight phase duration ,[object Object],[object Object],[object Object],[object Object],[object Object],Time  of  operation Number of observations (2) Schedule  Arrival Average  Actual  Departure Average  Actual  Arrival Time  of  operation Time  of  operation Number of observations (2) Schedule  Departure (2) Schedule  Departure
Meteorology impact on ANS performance at airports ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Data source: METAR reports Period Jan-March 2008
Weather classification varies across European airports: reaction to weather situations are expected to vary too ,[object Object],[object Object],[object Object],[object Object],Data source: METAR reports Period Jan-March 2008
A dashboard of indicators evolution may help to identify drivers and understand performance at European level
Conclusions and future work ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Jose Luis Garcia-Chico  Performance Review Unit/Eurocontrol (Aena secondment to PRU) jose-luis.garcia-chico@eurocontrol.int / jlgchico@crida.es Tel. +32 474 123814  www.eurocontrol.int/prc
BACK UP SLIDES
Controlling variability of air transport operations TMA Arrival airport Departure  airport En-route  ATFM delays Airport  ATFM delays Airborne  holding Reactionary  delays Network delivery (volume and variability  of TMA entry flow) Airport  scheduling (utilisation ratio) Management of arrival flows Landing interval  (actual throughput) Local turnaround delays   Arrival time  variability Departure time variability Pre-departure delays ATM Weather ,[object Object],[object Object],[object Object],STD STA
Decrease on Service Rate due to drop of demand  ,[object Object],[object Object],[object Object]
Calculation of unimpeded and additional times in the taxi-out phase is derived by statistical analysis of historic data
CODA:  Central Office for Delay Analysis ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
METAR contents EBBR 010420Z  310 31 G51 KT 270V340  3000   R25L/P1500N R25R/P1500N R02/1400N   +SHRAGR TS   SCT008   BKN012  CB  05 /04 9999 m 9999 m – 5000 m 4900 m – 3000 m 2900 m – 1500 m 1490 m – 750 m 750 m – 350 m 350 m – 0 m Visibility >1000 m 600 m – 400 m 400 m – 300 m 300 m – 200 m 200 m – 100 m 100 m – 50 m Cloud base -RA +RA -FZRA +FZRA Precipi- tations 0 kt – 5 kt 5 kt – 8 kt 8 kt – 10 kt  10 kt – 15 kt >15 kt Wind speed CB TCU Convective weather Temperature/ Dewpoint +3°C to -10°C Freezing Conditions ,[object Object],[object Object],Weather phenomena Cloud & Ceiling Gusts Wind speed Wind direction CB/TCU Visibility RVR Values (m) T° (°C°)
Example of weather classification:  Wind class for steady wind direction ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

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European Airport PerformanceFramework

  • 1. Definition and measure of KPAs/KPIs to monitor airside airport performance across Europe. SPADE Workshop Gran Canarias (Spain), 5 th November 2009 Jose Luis Garcia-Chico Performance Review Unit/Eurocontrol (Aena secondment to PRU) jose-luis.garcia-chico@eurocontrol.int / jlgchico@crida.es Tel. +32 474 123814
  • 2.
  • 3.
  • 4.
  • 5.
  • 6.
  • 7.
  • 8.
  • 9.
  • 10. KPI Punctuality is calculated based on comparison between actual block times at the stand with airline scheduled times Data source: EUROCONTROL/eCODA Period 2008
  • 11.
  • 12.
  • 13.
  • 14.
  • 15.
  • 16.
  • 17.
  • 18.
  • 19.
  • 20.
  • 21. A dashboard of indicators evolution may help to identify drivers and understand performance at European level
  • 22.
  • 23. Jose Luis Garcia-Chico Performance Review Unit/Eurocontrol (Aena secondment to PRU) jose-luis.garcia-chico@eurocontrol.int / jlgchico@crida.es Tel. +32 474 123814 www.eurocontrol.int/prc
  • 25.
  • 26.
  • 27. Calculation of unimpeded and additional times in the taxi-out phase is derived by statistical analysis of historic data
  • 28.
  • 29.
  • 30.

Notas do Editor

  1. Transport Ministers adopted the ECAC Institutional strategy in 1997. It is based on two basic policy decisions: 1) Distributed Air Navigation service provision, as opposed to a Single Unified ATM system, and 2) focus on performance, with the creation of the Performance Review Commission, reporting at the level of DGCAs. The ambitious goal is for this distributed ATM system to be as safe and efficient as if it was run under a central authority. The decision making structure of the EUROCONTROL Organisation, comprising now 34 States with the accession of Ukraine and Poland, and soon 35 with Serbia-Montenegro, is that of the Revised EUROCONTROL Convention currently being ratified, with an Assembly at ministerial level, a Council at DGCA level, and the permanent Agency. 1 Overall cost of the European ATM system is roughly 7 billion euro per annum, of which Air traffic management is 88%. EUROCONTROL ’ s share is 5%. 2 Adoption of the Single European Sky regulations earlier this year and accession of the European Community to EUROCONTROL reinforces the action of EUROCONTROL in three ways: By an enforceable regulatory framework, By participation of the EU in EUROCONTROL decision making. In areas of exclusive competence, the European Commission will express the common position of EU States. This is a marked evolution from consensus based decision making. Finally, EUROCONTROL now acts not only in co-operative mode, but also under mandate from the EC.